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Event-Driven AutomationAI systemIntermediate

AI-Powered Speech and Feedback Manager

AI-Powered Speech and Feedback Manager is a 16-node automation blueprint connecting Telegram, OpenAI, LangChain. Inspect its trigger, execution graph, branches, and implementation requirements.

Interactive system map

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Solid horizontal paths show main-channel execution. Violet dependencies sit beneath the exact step they configure or empower.

16

Nodes

19

Links

1

Run groups

Connected tools

3 integrations

  • Telegram
  • OpenAI
  • LangChain

Canvas controls

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AI-Powered Speech and Feedback Manager execution lanes1 run groups containing 16 workflow nodes and 19 visible links. Solid horizontal lines are main-channel runtime links. Violet dashed lines connect typed dependencies beneath the runtime step they support. Focus any node to inspect its immediate path.Recieve Telegram Message. Telegram node, telegramTrigger. 0 incoming and 1 outgoing connections.STARTRecieve Telegram MessageTELEGRAMTELEGRAMTRIGGER0 IN / 1 OUTCheck For Text or Voice Message. transform node, set. 1 incoming and 1 outgoing connections.STEP 02Check For Text or Voice M…TRANSFORMSET1 IN / 1 OUTIf Voice Message. decision node, if. 1 incoming and 2 outgoing connections.STEP 03If Voice MessageDECISIONIF1 IN / 2 OUTDownload Audio File. Telegram node, telegram. 1 incoming and 1 outgoing connections.STEP 04Download Audio FileTELEGRAMTELEGRAM1 IN / 1 OUTTranscribe Audio File. OpenAI node, openAi. 1 incoming and 1 outgoing connections.STEP 05Transcribe Audio FileOPENAIOPENAI1 IN / 1 OUTRoute Flow Based on Message Content. decision node, switch. 2 incoming and 3 outgoing connections.STEP 06Route Flow Based on Messa…DECISIONSWITCH2 IN / 3 OUTWipe Conversation Memory. ai node, memoryManager. 2 incoming and 1 outgoing connections.STEP 07Wipe Conversation MemoryAIMEMORYMANAGER2 IN / 1 OUTSet prompt to generate a speech based on the feedback. transform node, set. 1 incoming and 1 outgoing connections.STEP 07Set prompt to generate a …TRANSFORMSET1 IN / 1 OUTSet prompt to provide feedback on speech. transform node, set. 1 incoming and 1 outgoing connections.STEP 07Set prompt to provide fee…TRANSFORMSET1 IN / 1 OUTSet prompt to start a new speech. transform node, set. 1 incoming and 1 outgoing connections.STEP 08Set prompt to start a new…TRANSFORMSET1 IN / 1 OUTAI Agent. ai node, agent. 5 incoming and 1 outgoing connections.STEP 09AI AgentAIAGENT5 IN / 1 OUTCode to remove unwanted characters from LLM response. transform node, code. 1 incoming and 1 outgoing connections.STEP 10Code to remove unwanted c…TRANSFORMCODE1 IN / 1 OUTCode to split output into chunks under 4000 characters. transform node, code. 1 incoming and 1 outgoing connections.STEP 11Code to split output into…TRANSFORMCODE1 IN / 1 OUTRespond to Telegram Message. Telegram node, telegram. 1 incoming and 0 outgoing connections.OUTCOMERespond to Telegram MessageTELEGRAMTELEGRAM1 IN / 0 OUTStore Conversation Memory. ai node, memoryBufferWindow. 0 incoming and 2 outgoing connections.DEPENDENCY · DEPTH 1Store Conversation MemoryAIMEMORYBUFFERWINDOW0 IN / 2 OUTGoogle Gemini Chat Model. Google AI node, lmChatGoogleGemini. 0 incoming and 1 outgoing connections.DEPENDENCY · DEPTH 1Google Gemini Chat ModelGOOGLE AILMCHATGOOGLEGEMINI0 IN / 1 OUT

Signal inspector

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Main-channel runtimeTyped dependencytriggeraidecisiontransformintegration
Scroll horizontally to follow every connected flow.16 connected nodesEnter or click to lock · Escape to clear

Runtime breakdown

Read the execution spine before its dependencies.

Each run group separates main-channel steps from the models, tools, retrievers, and data services that support them. Start and outcome labels apply only to runtime nodes.

01

Run Group

Recieve Telegram Message

16 Execution Links3 Support Dependencies
  1. Start

    Recieve Telegram Message

    Trigger

  2. Step 2

    Check For Text or Voice Message

    Transform

  3. Step 3

    If Voice Message

    Decision

  4. Step 4

    Download Audio File

    Integration

  5. Step 5

    Transcribe Audio File

    AI reasoning

  6. Step 6

    Route Flow Based on Message Content

    Decision

  7. Step 7

    Wipe Conversation Memory

    AI reasoning

    Set prompt to generate a speech based on the feedback

    Transform

    Set prompt to provide feedback on speech

    Transform

  8. Step 8

    Set prompt to start a new speech

    Transform

  9. Step 9

    AI Agent

    AI reasoning

  10. Step 10

    Code to remove unwanted characters from LLM response

    Transform

  11. Step 11

    Code to split output into chunks under 4000 characters

    Transform

  12. Outcome

    Respond to Telegram Message

    Integration

Attached dependencies

These nodes support the runtime above; they are not additional starts or outcomes.

2 nodes
  • Store Conversation Memory

    AI reasoning dependency

  • Google Gemini Chat Model

    AI reasoning dependency

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